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ICML
2009
IEEE
16 years 7 months ago
On primal and dual sparsity of Markov networks
Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...
Jun Zhu, Eric P. Xing
ICAS
2009
IEEE
147views Robotics» more  ICAS 2009»
16 years 1 months ago
Fast Estimation of Aggregates in Unstructured Networks
Aggregation of data values plays an important role on distributed computations, in particular over peer-to-peer and sensor networks, as it can provide a summary of some global sys...
Carlos Baquero, Paulo Sérgio Almeida, Raque...
ICC
2009
IEEE
158views Communications» more  ICC 2009»
16 years 1 months ago
An Energy-Aware Routing Protocol for Ad-Hoc Networks Based on the Foraging Behavior in Ant Swarms
—Routing in ad-hoc networks can consume considerable amount of battery power. However, as the nodes in these networks have limited power, routing is very much energy-constrained....
Sanjay Kumar Dhurandher, Sudip Misra, Mohammad S. ...
GLOBECOM
2008
IEEE
16 years 1 months ago
Transport of Long-Range Dependent Traffic in Single-Hop and Multi-Hop IEEE 802.11e Networks
 Long-range dependence (LRD) is a widely verified property of traffic crossing the wireless LAN radio interface. LRD severely affects network performance yielding longer queuing...
Stefano Bregni, Paolo Giacomazzi, Gabriella Saddem...
GLOBECOM
2008
IEEE
16 years 1 months ago
Routing with Probabilistic Delay Guarantees in Wireless Ad-Hoc Networks
—In many wireless ad-hoc networks it is important to find a route that delivers a message to the destination within a certain deadline (delay constraint). We propose to identify...
Matthew Brand, Petar Maymounkov, Andreas F. Molisc...